policy-library
Helps your agent manage policies. It records important information like name, version, and who is responsible.
What it does
This tool helps organize your company's policies. It creates a record with information like policy name, who approved it, when it takes effect, and when it needs to be reviewed.
When to use it
- ✓Create a template for company policies.
- ✓Organize a register of all existing policies.
- ✓Build an HR policy database.
Example of what to ask your AI
“I need to organize my company's policies. Can you help me create a record with the name, owner, and review date for each?”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
The tool asks what policies you have, who is responsible for them, and when they need to be reviewed. With this information, it suggests the best way to organize everything and can generate files like spreadsheets or database code.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add sickn33/agentic-awesome-skills --skill policy-libraryOr download just the file:
curl -L https://raw.githubusercontent.com/sickn33/agentic-awesome-skills/main/plugins/agentic-awesome-skills-claude/skills/policy-library/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
Policy Library
What it is: Company policies.
Overview
Works out the smallest useful Policy Library setup for the business in front of it, then builds it only when asked. The default output is a short recommendation, not a spreadsheet. Artifacts - CSV, SQL DDL, JSON Schema, Notion mapping - are produced on request, from one field list so they cannot drift apart.
Layer: Layer 1: Foundation. Fits: Starter stage. Table code: n/a.
When to Use This Skill
- company policy template
- policy register
- hr policy database
- policy document library
Also use it when the user says "company policies", or describes the same process happening in a spreadsheet, a document or someone inboxes.
Do not use it for: payroll calculation, tax filing, or legal advice. This skill produces empty templates only - it never holds or processes real employee or customer data.
How It Works
Follow the shared execution contract. The module-specific rules below define only domain fields, decisions, calculations, and safety constraints.
Step 1 - Identify intent
Read the request and pick the intent before asking anything.
- "set up" or "build" or "create" -> the user wants artifacts; go to Step 2.
- "our process is ..." or "it is in a sheet" -> the user wants to move an existing process; capture it, then Step 2.
- "is this right" or "review" or "audit" -> the user wants a check, not a build; answer from what they share.
- "how do I ..." -> advice question; answer directly and offer the build only if it helps.
Ask only if this is the highest-value missing fact; otherwise proceed without an opener:
Q: Which policies exist today?
Step 2 - Ask only what is missing
Skip anything the user already answered, in any earlier message. Ask the rest one at a time, and stop as soon as the remaining answers would not change the output.
- Policies - Which policies exist? / Which are missing? / Company specific or generic?
- Ownership - Who approves each? / Who owns each? / Legal review needed?
- Lifecycle - Effective dates? / Review cycle? / Version history kept?
- Current process - Where do policies live now? / Shared drive or scattered? / Which are current?
- Outcome - What do you need? / A register, templates or both?
Never invent an answer. If the user does not know, record it as unknown and carry on.
Step 3 - Hold the internal context
Hold the answers in this shape. It stays internal - it is not shown to the user unless they ask, and it never carries a value the user did not give.
module: policy-library
intent: null # setup | advice | review | fix | build | convert | export
scale: null # Starter | Growth | Scale, only if the answer changes it
areas:
"Policies": null
"Ownership": null
"Lifecycle": null
"Current process": null
"Outcome": null
requested_outputs: [] # csv | sql | json | notion | xlsx - requested formats only
confirmed_facts: [] # only what the user actually said
open_questions: [] # the unanswered ones, in the order worth asking
Step 4 - Recommend the smallest workflow
If an artifact was requested, build it after resolving essential missing facts. Otherwise give a short recommendation and offer the relevant artifact.
Recommended approach: Build a register of policies with owner, version and review date. Write the missing policy drafts only for the ones you name.
Why this one: Most SMEs have policies in several places and no owner. A register with an owner and a review date makes the gap visible.
Workflow: Policy draft → Approve → Publish version → Assign → Review date
Step 5 - Build only on request
Once the user asks for it, derive the fields from the confirmed context and emit the requested artifacts. For machine-readable text, keep prose outside the data; for files, provide a usable link. Report material validation failures or limitations separately.
A selected Notion output is rendered by notion-manual-import, so route the
Notion step there. When the user selects Notion, hand that step to
@notion-manual-import: it holds the CSV, the property
mapping, the import steps and the verification checklist, and it renders the Field
Reference below instead of defining a table of its own. Do not restate the mapping
here and do not improvise the import steps. Manual CSV and mapping outputs need no
connection. For requested workspace changes, follow the shared contract: verify actual
…
FAQ
Does this tool manage real employee data?
No, it only creates templates and structures for organizing policies. It does not store or process real employee or customer data.
Can I export the information to a spreadsheet?
Yes, you can request an export in CSV format, which can be opened in programs like Excel.
Does the tool create policies from scratch?
It can help create policy drafts, but the main focus is organizing and recording the policies you already have or need.
Details
Original description by the author
Policy register: name, version, category, owner and approver, applies to, compliance framework, acknowledgement requirement, effective date and next review. Use for policy management.
Popularity
- GitHub stars
- 48k
- Ranking position
- #3851
- License
- MIT
- Updated
- 10/15/2026
Comments
- …
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